Optimal Power Scheduling for Remote State Estimation: A Quantitative and Analytical Approach

In this paper, problem of optimal sensor scheduling with limited power resources is considered. For a discrete-time linear process, we consider a more practical scenario where forward-error-correcting(FEC) coding scheme is utilized. An approximate linearized communication model is introduced to formulate the relationship between the consumption of power and successful-decoding-probability. Different from the present literatures, it is our first attempt to propose an analytical method to figure out the optimal off-line schedules under continuous power space. Numerical examples and essential proofs are provided to demonstrate and highlight the correctness of proposed ideas.

[1]  Barbara F. La Scala,et al.  Optimal Scheduling of Scalar Gauss-Markov Systems With a Terminal Cost Function , 2009, IEEE Transactions on Automatic Control.

[2]  Ling Shi,et al.  Sensor scheduling over a packet-delaying network , 2011, Autom..

[3]  Ling Shi,et al.  Detection Against Linear Deception Attacks on Multi-Sensor Remote State Estimation , 2018, IEEE Transactions on Control of Network Systems.

[4]  Ling Shi,et al.  Worst-case analysis of innovation-based linear attack on remote state estimation with resource constraint , 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

[5]  Ling Shi,et al.  An improved hybrid sensor schedule for remote state estimation under limited communication resources , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[6]  Daniel E. Quevedo,et al.  State Estimation Over Sensor Networks With Correlated Wireless Fading Channels , 2013, IEEE Transactions on Automatic Control.

[7]  Daniel E. Quevedo,et al.  Sensor Scheduling in Variance Based Event Triggered Estimation With Packet Drops , 2015, IEEE Transactions on Automatic Control.

[8]  Lingkun Fu,et al.  DoS Attack Energy Management Against Remote State Estimation , 2018, IEEE Transactions on Control of Network Systems.

[9]  Cunqing Hua,et al.  Co-design of stabilisation and transmission scheduling for wireless control systems , 2017 .

[10]  Lihua Xie,et al.  Stochastic sensor scheduling for multiple dynamical processes over a shared channel , 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

[11]  Yao Li,et al.  Sensor scheduling for relay-assisted wireless control systems with limited power resources. , 2019, ISA transactions.

[12]  Ling Shi,et al.  Sensor data scheduling for optimal state estimation with communication energy constraint , 2011, Autom..

[13]  Ling Shi,et al.  Optimal Attack Energy Allocation against Remote State Estimation , 2018, IEEE Transactions on Automatic Control.

[14]  Ling Shi,et al.  Stochastic event-triggered sensor scheduling for remote state estimation , 2013, 52nd IEEE Conference on Decision and Control.

[15]  Ling Shi,et al.  Optimal Linear Cyber-Attack on Remote State Estimation , 2017, IEEE Transactions on Control of Network Systems.

[16]  Ling Shi,et al.  Optimal Denial-of-Service Attack Scheduling With Energy Constraint Over Packet-Dropping Networks , 2018, IEEE Transactions on Automatic Control.

[17]  Cunqing Hua,et al.  State Estimation Oriented Wireless Transmission for Ubiquitous Monitoring in Industrial Cyber-Physical Systems , 2019, IEEE Transactions on Emerging Topics in Computing.

[18]  Ling Shi,et al.  A Game-Theoretic Approach to Fake-Acknowledgment Attack on Cyber-Physical Systems , 2017, IEEE Transactions on Signal and Information Processing over Networks.

[19]  Ling Shi,et al.  Optimal Denial-of-Service Attack Scheduling With Energy Constraint , 2015, IEEE Transactions on Automatic Control.

[20]  Ling Shi,et al.  Multi-sensor Scheduling for State Estimation with Event-based, Stochastic Triggers , 2013 .

[21]  Ling Shi,et al.  Power Control of an Energy Harvesting Sensor for Remote State Estimation , 2017, IEEE Transactions on Automatic Control.

[22]  Xin-Ping Guan,et al.  Ubiquitous Monitoring for Industrial Cyber-Physical Systems Over Relay- Assisted Wireless Sensor Networks , 2015, IEEE Transactions on Emerging Topics in Computing.

[23]  Jiming Chen,et al.  Optimal Sensor Data Scheduling for Remote Estimation Over a Time-Varying Channel , 2017, IEEE Transactions on Automatic Control.

[24]  Ling Shi,et al.  Fake-acknowledgment attack on ACK-based sensor power schedule for remote state estimation , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[25]  Ling Shi,et al.  Optimal Sensor Power Scheduling for State Estimation of Gauss–Markov Systems Over a Packet-Dropping Network , 2012, IEEE Transactions on Signal Processing.

[26]  Alejandro Ribeiro,et al.  Optimal Power Management in Wireless Control Systems , 2014, IEEE Transactions on Automatic Control.

[27]  Ling Shi,et al.  SINR-Based DoS Attack on Remote State Estimation: A Game-Theoretic Approach , 2017, IEEE Transactions on Control of Network Systems.